I build production-grade AI and machine learning systems that solve
real industrial problems — not just prototype models that break in
deployment.
Currently working as an AI/ML Engineer at an enterprise textile
manufacturer, I develop and maintain end-to-end intelligent systems
including a 49-camera real-time visual monitoring platform (NVIDIA
DeepStream + TensorRT + YOLOv8), hybrid OCR/ANPR engines, and
Oracle ERP-integrated ML pipelines using Python and PL/SQL.
What I deliver:
- Computer vision pipelines: object detection, classification,
tracking (YOLOv8, OpenCV, TensorRT)
- OCR and ANPR systems: license plate recognition, document
digitization, text extraction
- Python automation: data pipelines, REST APIs, scheduled jobs,
Flask/FastAPI backends
- ERP-integrated AI: Oracle, SQL-driven ML inference, automated
reporting
- Docker-based deployment: containerized, production-ready systems
Stack: Python · PyTorch · YOLOv8 · OpenCV · TensorRT · DeepStream ·
Flask · FastAPI · Docker · Oracle · PostgreSQL · Git
Pursuing MS in Artificial Intelligence at FAST-NU — staying current
with the latest in deep learning research and applying it directly
to production systems.
If you need a system that actually runs in production, handles edge
cases, and integrates with your existing infrastructure — let's talk.